Training

This lesson teaches users the basics of climate reanalysis. The lesson explains how reanalyses are made, an overview of global reanalyses datasets, and their strengths and limitations.

Six modules giving ML applications in observations, forecasting, data assimilation, post-processing, ocean and more.

An introduction to the basic concepts for the design of a cloud and precipitation microphysics parametrisation.

Learn about the main sources of uncertainty in weather forecasting and how they are addressed in early warning systems.

From analysis of the past to future projections Short online courseBecause you don't have to be a climate scientist to make climate data work for you! ...

An introduction to the different sources of climate data and how to find them.

Learn how to use the Climate Data Store (CDS) for applications in the health sector. The lesson focuses on urban heat and data and indicators from SIS-European Health.

This lesson teaches how to use climate models in the development of national climate scenarios. Examples are provided for The Netherlands, Switzerland and the U.K.

Learn about the various data sources, and strategies to find climate data: processing, choosing projections, scenarios, ensembles and variables.

Learn about Essential Climate Variables, the different types of climate data resources, and their respective pros and cons.

Learn how climate change will affect the energy sector, which energy-related data and indicators are available from the CDS, and how these can be used in applications.

Explore the different types of measurements, the types of observing systems and their measurement uncertainty.